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In this paper, we focus on mapping and analysing the spatial patterns of unemployment in four Central European countries - Austria, Czechia, Germany, and Poland, on municipal level in 2010. Specifically, based on the geo-social differentiation patterns, we are searching for secondary axes stretching from the Blue Banana (the major European economic development axis running from London to Milan) towards Eastern Europe. Unemployment is supposed to approximate economic development, thanks to its close relation to GDP and other economic indicators. To study spatial patterns and development axes on a micro scale, we use the concept of spatial autocorrelation, specifically Moran's I and LISA analysis. While we analyse more than 44,000 units, the resulting maps are very detailed and difficult to interpret on small scales. In this paper, we take advantage of the opportunity to present large-scale maps (1:2,500,000 and 1:6,000,000), which are also more suitable for the analytical conclusions that follow. [ABSTRACT FROM AUTHOR]